Advanced cognitive networked radar surveillance

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dc.contributor.authorJahangir, Mohammed
dc.contributor.authorBaker, Chris J.
dc.contributor.authorAntoniou, Michail
dc.contributor.authorGriffin, Benjamin
dc.contributor.authorBalleri, Alessio
dc.contributor.authorMoney, David
dc.contributor.authorHarman, Stephen
dc.date.accessioned2021-06-21T15:33:26Z
dc.date.available2021-06-21T15:33:26Z
dc.date.issued2021-06-18
dc.description.abstractThe concept of a traditional monostatic radar with co-located transmit and receive antennas naturally imposes performance limits that can adversely impact applications. Using a multiplicity of transmit and receive antennas and exploiting spatial diversity provides additional degrees of design freedom that can help overcome such limitations. Further, when coupled with cognitive signal processing, such advanced systems offer significant improvement in performance over their monostatic counterparts. This will also likely lead to new applications for radar sensing. In this paper we explore the fundamentals of multistatic network radar highlighting both potential and constraints whilst identifying future research needs and applications. Initial experimental results are presented for a 2-node networked staring radar.en_UK
dc.identifier.citationJahangir M, Baker CJ, Antoniou M, et al., (2021) Advanced cognitive networked radar surveillance. In: 2021 IEEE Radar conference, 10-14 May 2021, Atlanta, Georgia and Virtual Eventen_UK
dc.identifier.isbn978-1-7281-7610-9
dc.identifier.issn2375-5318
dc.identifier.urihttps://doi.org/10.1109/RadarConf2147009.2021.9455245
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16798
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectNetworksen_UK
dc.subjectMultistaticen_UK
dc.subjectDistributeden_UK
dc.subjectCognitiveen_UK
dc.subjectIntelligenten_UK
dc.subjectRadaren_UK
dc.titleAdvanced cognitive networked radar surveillanceen_UK
dc.typeConference paperen_UK

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